Asymptotic-Preserving and Energy Stable Dynamical Low-Rank Approximation
Author:
Affiliation:
1. University of Innsbruck, 6020 Innsbruck, Austria.
2. Department of Applied Mathematics, University of Washington, Seattle, WA 98195-3925 USA.
Funder
Air Force Office of Scientific Research
Deutsche Forschungsgemeinschaft
National Science Foundation
U.S. Department of Energy
Publisher
Society for Industrial & Applied Mathematics (SIAM)
Reference24 articles.
1. A rank-adaptive robust integrator for dynamical low-rank approximation
2. An unconventional robust integrator for dynamical low-rank approximation
3. Rank-Adaptive Time Integration of Tree Tensor Networks
4. An asymptotic preserving scheme based on a micro-macro decomposition for Collisional Vlasov equations: diffusion and high-field scaling limits
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